Estimated take-home
Monthly net after taxes & social security
€1,738/mo+
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Job description
NXP Semiconductors posted this role. Below, we break down what it means for a working student in Munich: your weekly hours, take-home pay and visa limits. You can also open ChatGPT or Claude with a ready-made prompt to tailor your CV, check your fit, draft a cover letter or prep for the interview.
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Description provided by NXP Semiconductors
Are you inspired by machine learning, data, AI, currently pursuing your studies, and ready for a new challenge working on AI compiler technologies? Do you want to contribute to “real world” applications and gain experience in the development of innovative ideas? Then join the growing “AI IP and Solutions” Department at NXP.
Responsibilities:
At the MLIR-Compiler Team, embedded in NXP’s global AI-activities, we are looking for a student passionate about enabling a variety NXP devices with ML acceleration using modern AI compiler technologies such as MLIR. Leverage your creativity for implementing new, fun, and innovative ways of mapping AI workloads onto edge devices in one of our light-house projects. During this internship, our team members will support you to study and work with open-source AI/ML compiler technologies. In your project, you will learn to push your software development and machine learning skills further. You will invent, implement, and integrate methods to deploy neural networks onto heterogeneous systems. After your internship, you and the team will be proud of having enabled NXP’s colleagues, customers, and partners to create breakthroughs in Edge AI that advance the world.
Preferred skills:
- Very strong skills in programming languages such as C/C++ or Python
- Profound knowledge of embedded systems
- Ideally first experience with AI compiler frameworks and/or Neural Processing Units (NPUs).
- Experience with Linux environments
- Experience with development tools such as VSCode and version control systems such as git.
- Fundamental know-how of neural network (PyTorch/Tensorflow)
Your Profile:
- Currently pursuing a degree in computer sciences, computer engineering or other related fields (Master)
- Capability to work independently and accurately
- Strong critical and analytical thinking
- Good English communication skills for interaction with our multinational team across multiple sites
- Looking for a challenging internship in a leading Edge-AI high-tech company
What NXP Offers:
- A monthly salary of €2,420.00
- Flexible working hours
- The possibility to work in a hybrid setup
- 2.5 days of vacation per month incase of voluntary internship
- Access to an on-site cafeteria
- Networking initiatives and Employee Resource Groups such as Young Community, No Extra Planet, NXP Equal, Women in NXP, and more — fostering both professional and personal exchange
Please note:
The successful candidate may/will be responsible for security related tasks.
The assignment may/will be in scope of security certifications, therefore a conscious and reliable way of working is necessary.
Working student essentials
What this Tech internship in Munich means for you: the pay rules, the social contributions, and what international students should check before applying.
Weekly hours
Internships have no 20-hour cap, but a voluntary internship longer than three months generally has to pay at least the German minimum wage. Mandatory internships in your study programme are exempt.
Working student rulesSocial contributions
Mandatory internships are largely exempt from social contributions. Voluntary internships are treated like regular employment once they run long enough, so contributions usually apply.
Check your insuranceInternational students
Non-EU students can work 140 full or 280 half days per year (raised from 120/240 in March 2024). A working student contract usually fits within this — confirm the exact limits printed on your residence permit.
Studying in Germany
